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The Generative AI market is set to explode from $67.18 billion in 2023 to an astounding $967.65 billion by 2032, surging at a yearly growth rate of 39.6%. 

The advent of AI in Quality Assurance has brought about significant changes in various industries, including software development.

The artificial intelligence impact is profound! From voice assistants, customer service agents, and decentralized finance, to recommendation algorithms and advancements in healthcare, e-commerce, and agriculture, AI surrounds us. But here’s the big question: Will AI empower us to achieve greater heights in technology, or will it limit our potential? 

Ever wondered how digital assistants like Alexa, Cortana, Google Assistant, and Siri understand and respond to our commands? Want to build an app that listens to your voice? With the Web Speech API, it is possible. 

The use of AI in Quality Assurance has gained significant traction. It’s no longer a niche concept; it’s become mainstream. However, what remains is the fact that quality assurance (QA) plays a crucial role in ensuring the reliability and performance of products and services. It’s never quality vs accuracy but making sure both these concepts go hand-in-hand.

Artificial intelligence has witnessed many periods of hype, but even skeptics are left awestruck by the release of ChatGPT and it’s potential. In 2024, businesses and developers alike are increasingly drawn to the possibilities offered by Generative AI applications. But what exactly is Generative AI, and why is it capturing the attention of innovators worldwide?

The AI market growth rate in the United States from 2021 to 2030 is projected to soar, reshaping our daily routines, workplaces, and approaches to complex challenges.

How do we learn to trust AI? We’ve started depending on Artificial Intelligence but as reliance grows, so does vulnerability. AI's influence is undeniable. But trust? That's a journey, not just a destination.